Hi there 👋

I’m Andree Valle Campos (él/he/his)

home

I’m a 🇵🇪 researcher trained in genetics and skilled in health data science

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🏗️ I take data problems to learn new tools in the route to solve them, motivated by causal questions and reproducible research.

🔓 Continuously integrating open science, software development and teaching online better practices!

🌱 Interested in systems developmental biology, quantitative and bioengineering approaches, living matter configuration principles.

⛑️ This website contains links to all my (reusable) scientific contributions. Here is a structured pdf version of my cv/resume.

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vitae

bio

now

• 💻 Freelancer, remote teacher, doing a research internship;
• ✒️ Writing my thesis manuscripts and grad school applications!
• ✨ Crafted last serosurvey package 📦;
• ⭐ Coordinator in a last outbreak analysis course in latinamerica;

bio

• 🏠 I am a computationally-oriented researcher trained in genetics + biotechnology and quantitative epidemiological research;
• 📜 I did my MSc research about human mobility and malaria history in the peruvian amazon (UPCH, 2018);
• 📜 I did my BSc research about antibody responses and severe vivax malaria with protein microarrays (UNMSM, 2015);

skills

• ⚙️ I am a proficient R user, expert tidy data wrangler and ggplot2 visualization enthusiast.
• ☁️ I am fluid with bash for automation, shh for remote computing, and shiny for reactive dashboards.
• 📀 I have made modeling workflows with omic, serological, gps, health service, and outbreak spatio-temporal data;
• 🥤 I have complemented my training with awesome communities: ictp-saifr, codata-rda, recon, metadocencia;

contact

• 💬 Ping me about applied biostatistics, data science education, and reproducible research;
• 📫 Reach me: avallecam at gmail;
• 🐤 Tweet me: @avallecam.

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works

writings

• 🔖 [opinion][ES] Data and transparency to fight against the coronavirus, 2020 https://ojo-publico.com/1718/datos-y-transparencia-para-luchar-contra-el-coronavirus

• 🔖 [editorial][ES] Health Data Science: Applications at CDC Perú, 2019 https://avallecam.github.io/health_data_science_editorial/

publications

• 📚 I have my list of academic publications in orcid and scholar;

library(tidyverse)
id <- "p1Tq4esAAAAJ"
scholar::get_publications(id) %>% 
  as_tibble() %>% 
  select(title:year) %>% 
  arrange(desc(year)) %>% 
  knitr::kable()

title	author	journal	number	cites	year
SARS-CoV-2 prevalence associated to low socioeconomic status and overcrowding in an LMIC megacity: A population-based seroepidemiological survey in Lima, Peru	MF Reyes-Vega, MG Soto-Cabezas, F Cárdenas, KS Martel, A Valle, …	EClinicalMedicine	34, 100801	26	2021
Early transmission dynamics of COVID-19 in a southern hemisphere setting: Lima-Peru: February 29th–March 30th, 2020.	CV Munayco, A Tariq, R Rothenberg, GG Soto-Cabezas, MF Reyes, …	Infectious Disease Modelling		80	2020
Malaria Transmission and Spillover across the Peru–Ecuador Border: A Spatiotemporal Analysis	AK Gunderson, RE Kumar, C Recalde-Coronel, LE Vasco, …	International Journal of Environmental Research and Public Health	17 (20), 7434	5	2020
Metodologías cuantitativas: Cálculo del tamaño de muestra con STATA y R	AM Quispe, DF Pinto, MR Huamán, GM Bueno, A Valle-Campos	Revista del Cuerpo Médico del HNAAA	13 (1), 78-83	4	2020
Recomendaciones para describir de forma adecuada una curva epidémica de COVID-19	S Loyola, A Valle, S Montero, G Carrasco-Escobar	Revista Peruana de Medicina Experimental y Salud Pública	37 (2)	2	2020
CLIMATE EFFECTS RELATED TO OUTBREAKS OF ACUTE CASES OF CARRION DISEASE IN PERU, 2000-2016	U Ulloa, C Munayco, A Valle, A Lescano	AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE	101, 49-49	0	2019
HUMAN MOBILITY AND MALARIA HISTORY IN A PERIURBAN COMMUNITY OF THE PERUVIAN AMAZON	AV Campos, JL Maguina, G Ulloa, KM Arista, V Pinedo-Cancino, …	AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE	101, 97-98	0	2019
IgG subclass responses to excreted-secreted antigens of Plasmodium falciparum in a low-transmission malaria area of the Peruvian Amazon	R Saavedra-Langer, J Marapara, A Valle-Campos, S Durand, …	Malaria journal	17 (1), 328	5	2018

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resources

R packages 📦

status: learning in progress!

• 💙 serosurvey - estimate prevalences.
• 🚧 incidenceflow - epidemic workflows.
• 💚 covid19viz - access covid-19 data.
• 💚 powder - tidy power analysis.
• 🚧 sitreper - situational reports in peru.
• 💚 cdcper - funciones para el cdc perú.
• 💚 epichannel - create endemic channels.
• 💚 epitidy - table and model outputs.
• 🚧 epihelper - custom (cool) funtions.

dashboards

• 💾 disease surveillance: https://avallecam.github.io/shiny-server/per/index.html
• 💾 data exploration: https://avallecam.shinyapps.io/data_qc/
• [ES] translation: https://avallecam.shinyapps.io/data_qc-es/

templates

• ♻️ tables: https://bit.ly/epitables
• ♻️ manuscripts: https://bit.ly/draftmanuscript
• ♻️ survey-forms: https://ee.kobotoolbox.org/x/oW0aWyxX
• ♻️ linear regression: https://bit.ly/gglinearregression
• ♻️ website: https://github.com/avallecam/avallecam.github.io

lifeguards

• 📑 I have a code cheatsheet full of reproducible examples in gist;
• 🌍 I have contributed answers for the stackoverflow community;
• 💌 I collect helpful links for a lot of topics in a public trello board.

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workshops

workshops

🖐️ [ES] Introduction to statistical analysis of epidemics, 2021

• 🍭 slides: https://bit.ly/cursoepidemias-analisisbrote
• ⚒️ tutorial: https://www.reconlearn.org/post/real-time-response-1-spanish.html

🖐️ [ES] Introduction to R and Rstudio, 2021

• 🍭 slides: https://bit.ly/cursoepidemia-intror
• ⚒️ tutorial: https://www.reconlearn.org/post/practical-intror-spanish.html

🖐️ [ES] Introduction to ggplot2, 2021

• 🍭 slides: https://bit.ly/r08ggplot2
• 🍿 video: https://youtu.be/waE31-OG8Ho
• 🍲 repo: https://github.com/avallecam/workshop_ggplot2

🖐️ [ES] Introduction to the use of R projects, 2021

• 🍭 slides: https://bit.ly/r02proyectos
• 🍲 repo: https://cdcperucursos.github.io/cursorcdc1.html

🖐️ [ES] Epidemiological analysis in R, 2019

• 🍭 slides: https://avallecam.github.io/epistat2019/r02.html#1
• 🍲 repo: https://avallecam.github.io/epistat2019/

🖐️ [ES] Inferential statistics in R, 2019

• 🍭 slides: https://avallecam.github.io/biostat2019/00-biostat2019-slides.html#1
• 🍲 repo: https://avallecam.github.io/biostat2019/

🖐️ [ES] Microarray analysis with Tidyverse and Bioconductor, 2019

• 🍲 repo: https://github.com/avallecam/bioinfo2019

🖐️ [ES] Reproducible Science and Microarray Analysis, 2017

• 🍭 slides: https://bit.ly/reproscience-intro
• ⚒️ tutorial: https://avallecam.github.io/bioinfo2017/biocmicro.nb.html
• 🍲 repo: https://avallecam.github.io/bioinfo2017/

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lectures

lectures

📌 [ES] Data analysis in epidemiological surveillance II: spatial analysis, 2021

• 🍭 slides: http://bit.ly/episurv2021parte2
• ⚒️ tutorial: https://rpubs.com/avallecam/episurv2021parte2

📌 [ES] Data analysis in epidemiological surveillance I: time, space, person and epidemic curve, 2021

• ⚒️ tutorial: https://rpubs.com/avallecam/episurv2021parte1
• ⚒️ extra: endemic channel https://rpubs.com/avallecam/episurv2021

📌 [ES] Visualizing public health and field epidemiology data, 2021

• 🍭 slides: https://bit.ly/epiviz2021

📌 [ES] Algorithms for the detection of aberrations in epidemiological surveillance, 2020

• 🍭 slides: https://avallecam.github.io/episurv2020/0101-surveillance.html#1
• 🍲 repo: https://github.com/avallecam/episurv2020/blob/main/0101-surveillance.Rmd

📌 [ES] Tardigrades and Bioinformatics in Horizontal Gene Transfer, 2016

• 🍭 slides: https://bit.ly/tardigate2016

📌 [ES] Gene regulatory networks using graph theory and finite automatas, 2015-2017

• 🍭 slides: https://bit.ly/biomath2017_
• ⚒️ tutorial: https://github.com/avallecam/gene_regulatory_networks/blob/main/GRN_py/UNAM_mat2.ipynb
• 🍲 repo: https://github.com/avallecam/gene_regulatory_networks

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talks

talks

🔔 serosurvey: Serological Surveys and Prevalence Estimation Under Misclassification, 2021

• 🍭 slides: https://bit.ly/serosurvey-user21
• 🍿 video: https://youtu.be/0mugb1mE68g
• 🍲 repo: https://github.com/avallecam/serosurvey-user21

🔔 [ES] Introduction to spatial analysis, 2021

• 🍭 slides: https://bit.ly/espacial2021

🔔 [ES] Analysis of #multiple epidemics and prevalences with R and purrr, 2020

• 🍭 slides: https://bit.ly/bbslisepi
• 🍿 video: https://youtu.be/mxX8tDmC45E

🔔 [ES] Causal questions for hypothetical interventions, 2020

• 🍭 slides: https://bit.ly/casual_question

🔔 [ES] Hypothesis testing with nonparametric statistical methods, 2020

• 🍭 slides: https://bit.ly/noparam2020
• 🍿 video: https://youtu.be/1MTt1Ro-OP4

🔔 [ES] Epidemiological analysis of the epidemic of Guillain Barré Syndrome in Peru, 2019

• 💾 (better)poster: https://raw.githubusercontent.com/avallecam/cdcperu-gt_investigacion/master/20191120-poster-SGB-INSv3.jpg
• 🍲 repo: https://avallecam.github.io/cdcperu-gt_investigacion/

🔔 Human mobility and malaria history in a periurban community of the Peruvian Amazon, 2019

• 💾 poster: https://raw.githubusercontent.com/avallecam/movmal/master/poster/astmh_poster-ValleAA-20191116.jpg
• 🍲 repo: https://github.com/avallecam/movmal

🔔 [ES] R applied to epidemiology, 2019

• 🍭 slides: https://speakerdeck.com/avallecam/r-aplicado-a-epidemiologia
• 🍿 video: https://youtu.be/C3Yqw883jrs
• 🍲 repo: https://avallecam.github.io/epiapli2019/

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about

about me

• 🏊 I was a swimmer (lane #5);
• 🎬 I love watching musical videos;
• 🇵🇪 I have a playlist of peruvian music;
• 🗃️ I store memories in a couple more;
• 🎼 I occasionally play guitar🎸|piano🎹;
• 🖤 I read a manga called berserk;
• 🌠 I feed a wishlist in elfster;
• 🎨 I appreciate visiting art galleries, unexpected findings occur;
• 🥦 I got curious on physical biology after: goodwin, bejan, leibler;
• 🌩️ I enjoy reading dialectical materialism: politzer, fromm, engels;
• 🎲 I like listening to radiohead, apparat, niños sin smartphones;
• 🍥 I am learning to design accessible outputs.

avallecam

• 🌞 Stands for andree valle campos.
• 💕 I intentionally used cam because I am #tusan

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© 🄯 Andree Valle-Campos, 2021